Jun Zhu

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Hang SuAssociated Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Tianyu PangSenior Research Scientist, Sea AI LabPatvirtintas el. paštas sea.com
Jianfei ChenAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
fan baoShengShuPatvirtintas el. paštas shengshu.ai
Ning ChenAssistant Researcher, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Ji-Rong WenRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Cheng LuOpenAIPatvirtintas el. paštas openai.com
Shixia LiuProfessor, Tsinghua University, IEEE FellowPatvirtintas el. paštas tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Wei-Ying MaTsinghua UniversityPatvirtintas el. paštas air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI for SciencePatvirtintas el. paštas microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com

Stebėti

Jun Zhu

Professor of Computer Science, Tsinghua University

Patvirtintas el. paštas mail.tsinghua.edu.cn - Pagrindinis puslapis

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li CVPR (arXiv preprint arXiv:1710.06081, 2017), 2018	3108	2018
Dino: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum arXiv preprint arXiv:2203.03605, 2022	1085	2022
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 323875, 2018	1024	2018
Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, J Zhu, X Hu CVPR (arXiv preprint arXiv:1712.02976), 2018	1001	2018
Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, C Li, J Yang, H Su, J Zhu, ... arXiv preprint arXiv:2303.05499, 2023	947	2023
Evading defenses to transferable adversarial examples by translation-invariant attacks Y Dong, T Pang, H Su, J Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	901	2019
Adversarial Attack on Graph Structured Data H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song ICML (arXiv preprint arXiv:1806.02371), 2018	850	2018
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu NeurIPS (arXiv preprint arXiv:2206.00927), 2022	825	2022
Explainable AI: A brief survey on history, research areas, approaches and challenges F Xu, H Uszkoreit, Y Du, W Fan, D Zhao, J Zhu Natural language processing and Chinese computing: 8th cCF international …, 2019	734	2019
Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021	731	2021
Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 1311-1318, 2019	656	2019
Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang arXiv preprint arXiv:2201.12329, 2022	643	2022
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	610*	2018
Towards Better Analysis of Deep Convolutional Neural Networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE Transactions on Visualization & Computer Graphics, 2016	595	2016
MedLDA: maximum margin supervised topic models for regression and classification J Zhu, A Ahmed, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	560	2009
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	555	2017
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu NeurIPS (arXiv preprint arXiv:2305.16213), 2023	481	2023
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	474	2019
Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	453	2019
Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017	443	2017

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